“Dynamic Information Grid Optimization of Trade Logistics Industry Sharing Based on Remote Sensing Image Analysis of Guangdong, Hong Kong and Macao”
Zhao Yajie
International Journal of Science and Engineering Applications (2023)
Using the nighttime light image of “Luojia No. 1”, the urban built-up area of the Guangdong-Hong Kong-Macao Greater Bay Area is extracted by the simple threshold method and the urban night light index method adjusted by vegetation. It can weaken the oversaturation phenomenon of the “Luojia No. 1” image and reduce Mistaken extraction due to the “overflow” of the image. Calculate and compare the landscape index of urban built-up areas in the Greater Bay Area. Then use the gravity model to measure the highway logistics gravity in Guangdong, Hong Kong and Macau, determine the road freight volume between cities, and use the logistics network The road logistics network in Guangdong, Hong Kong and Macao is optimized with the goal of minimizing the total cost, and the robustness of the optimization results under different carbon policies is further tested. The economic and social development of mainland China has had an important impact on the evolution of logistics layout in the Guangdong-Hong Kong-Macao Greater Bay Area. In regional logistics planning, attention should be paid to the impact of industrial agglomeration such as spatial correlation, and attention should be paid to the impact of the environment and economic cycles on the optimization of regional logistics layout and the deep integration of industries. From the Abstract
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